Nextdata
Principal AI Platform Engineer
San Francisco, CA · Principal
Sponsorship not specifiedDetected 34 days ago
PythonDistributed SystemsBackend DevelopmentPostgreSQLBigQuerySnowflakeDatabricksPlatform EngineeringOAuthSparkData EngineeringLLMsRAG
About the role
- This role sits at the intersection of data engineering, AI engineering, distributed systems, and product architecture.
- You will help define how autonomous data products expose their semantics, contracts, policies, metadata, and outputs to AI systems through agentic interfaces such as MCP-compatible endpoints, typed APIs, semantic tools, and data agents.
- Work on retrieval, semantic search, tool selection, context construction, and answer grounding.
Responsibilities
- You will not just build pipelines for AI models.
- You will build the product capabilities that allow AI systems to discover the right data, understand its meaning, request access, execute safe actions, and return reliable answers with context, lineage, and policy enforcement.
- Design agentic data interfaces that let AI agents discover, understand, and safely use data products.
- Develop data agents that reason over metadata, semantics, contracts, policies, and data outputs.
- Build safe query and action flows with access checks, policy enforcement, approvals, and audit trails.
- Partner with product, engineering, and customer teams to turn enterprise AI/data use cases into product capabilities.
Requirements
- Strong experience in data engineering, data platforms, distributed systems, or enterprise data infrastructure.
- Experience with agentic interfaces, tool-calling, MCP or similar protocols, function calling, or AI backends.
Nice to have
- Experience with data mesh, data products, semantic models, catalogs, governance platforms, or data marketplaces.
- Experience with MCP servers, tool registries, LLM orchestration, RAG systems, or multi-step agents.
- Experience with Databricks, Snowflake, BigQuery, Spark, DuckDB, Postgres, graph databases, vector databases, or lakehouse architectures.
- Experience with enterprise identity and authorization systems such as SSO, OAuth, OIDC, SAML, SCIM, RBAC, ABAC, or policy engines.
- Experience evaluating AI systems for retrieval quality, tool-use accuracy, groundedness, reproducibility, and failure modes.
Skills
- Strong Python skills and comfort working across backend services, data systems, APIs, and AI frameworks.
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This listing is sourced directly from Nextdata's careers page and normalized into a canonical job model.